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Systematic Trading Analyst M/F/D

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Job ID 254833 Date posted 11/21/2022 Location : Geneva, Switzerland | Amsterdam, Netherlands | London, United Kingdom | Minneapolis-St. Paul-Bloomington, Minnesota

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who are committed to safe, responsible and sustainable ways to nourish the world. This position is in Cargill’s agricultural supply chain business, where we seamlessly connect farming customers with food, feed and industry.

Job Purpose and Impact

The Systematic Trading Analyst is integrated in the systematic trading team and will generate strategic insights that will promote the company's competitive position and ultimately grow trading earnings. In this role, you will be a consumer of data working across product lines and will have an important role in the evaluation of complex new datasets and new sources of data we want to trade systematically.

Key Accountabilities

  • Discovery and analysis of in-house and external datasets
  • Coordinate with support teams and be accountable for the full supply chain for data with live trading standards of datasets the systematic trading team uses: ingestion, health checks, audits
  • Research data by communicating with data owners and using data science models to get your own, independent quantitative approach in order to communicate with quant traders.
  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
  • Other duties as assigned


Minimum qualifications 

  • Master's degree or other post-secondary degree, Doctoraate degree Data Science, Computer Science, Math, Engineering.
  • Experience in a software development environment and code management.
  • Fluency in python, sql, github, clouds, servers…
  • Experience with, and understanding of, relational and distributed data systems
  • Advanced capabilities in operations research and solving complex business optimization problems
  • Minimum of four years of related work experience
  • Other minimum qualifications may apply

Preferred Qualifications

  • 5 years of experience working with data and data warehousing systems
  • Experience in commodities data: weather, freight, S&D, flows
  • Experience with financial data: tick data, futures, options
  • Hands-on deliveries under strict timelines
  • Makes sense of complex, high quantity, and sometimes contradictory information to effectively solve problems

Our offer :

We provide a fast paced stimulating international environment, which will stretch your abilities and channel your talents. We also offer competitive salary and benefits combined with outstanding career development opportunities in one of the largest and most solid private companies in the world.

Interested? Then make sure to send us your CV and cover letter in English today:  
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